View source on GitHub
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View source on GitHub
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Computes the squared hinge loss between y_true and y_pred.
tf.keras.losses.squared_hinge(
y_true, y_pred
)
y_true: The ground truth values. y_true values are expected to be -1 or 1.
If binary (0 or 1) labels are provided we will convert them to -1 or 1.y_pred: The predicted values.Tensor with one scalar loss entry per sample.